The following table outlines the Artificial Intelligence Use Cases in place at DFC. The table outlines the Department that utilizes the Use Case, the Use Case Name, and the Public Summary for the Use Case.
| Department | AI Use Case Name | Summary |
|---|---|---|
| Office of the Chief Executive | DDIQ | DDIQ is an AI-powered due diligence platform developed by Exiger. It automates the process of risk assessment by continuously scanning and analyzing vast amounts of data from various sources to identify potential risks and compliance issues. The system uses natural language processing and machine learning to efficiently process unstructured data, providing users with real-time insights and reducing manual review efforts. This enables organizations to enhance their decision-making processes by quickly identifying relevant information and potential red flags. |
| Office of Information Technology (OIT) | Security Information and Event Management (SIEM) Alerting Models | DFC security teams use a SIEM where an AI analyzes large amounts of data searching for anomalies. Security staff is alerted via automated alerts if any anomalies are found. |
| All Departments | Generative AI Chatbot | DFC provides a Chatbot that leverages generative AI for internal use. Users submit text prompts to the Chatbot, which then uses natural language processing (NLP) and large language models (LLMs) to process and respond to these requests. |
| All Departments | IT Service Management Virtual Agent | DFC provides a conversational experience that uses natural language understanding allowing users to ask and receive instant answers to many of their IT-related questions. This provides users a faster, self-service option and allows IT Support representatives to focus on other issues. |
| Office of the Chief Executive (OCE) | Transcript Generation from Audio Files | DFC reduces transcription time by utilizing cognitive services techniques of machine learning to convert audio versions of public speeches, sessions, or other recorded DFC events to a text version from the available audio file. |